Libraries + Data Science + Digital Humanities
Anabelle Colmenares
Chloe Williams
The Know Systemic Racism project is based at Stanford Libraries. It was initiated and is led by Stanford’s Racial Justice and Social Equity Libarian, Felicia Smith.
Provide access to resources.
But our systems of discovery can help perpetuate “othering”.
Categorization has a significant impact on what you can find.
KSR Data Lab takes the aspiration of KSR — to show that systemic racism exists — as a provocation for thinking critically about data collection/creation, data structures, data access/discovery, and data preservation.
We are guided by FAIR (Findable, Accessible, Interoperable, Reusable) principles 1 as well as CARE (Collective Benefit, Authority to Control, Responsibility, and Ethics) principles 2.
“The CARE Principles are people– and purpose-oriented, reflecting the crucial role of data in advancing innovation, governance, and self-determination among Indigenous Peoples. The Principles complement the existing data-centric approach represented in the ‘FAIR Guiding Principles for scientific data management and stewardship’”(Carroll et al 2020).
Knowledge Graph
Multiple points of entry. Rather than seeking discrete data sets, we take advantage of the knowledge graph making connections across collections.
Stanford Digital Repository Wikidata Archive.org (Internet Archive)
KSR Data Lab
Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. “The FAIR Guiding Principles for scientific data management and stewardship.” Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18
Carroll, Stephanie Russo, et al. “The CARE principles for indigenous data governance.” Data Science Journal 19 (2020): 43-43.